GSA Annual Meeting in Denver, Colorado, USA - 2016

T47. Big Data in the Geosciences

Session No. 280
Wednesday, 28 September 2016: 8:00 AM-12:00 PM
Room 205 (Colorado Convention Center)
 
Introductory Remarks
Abstract ID#: 288366
TRANSDISCIPLINARY RESEARCH IN THE GEOSCIENCES AND BEYOND REQUIRES ACCESS TO ALL DATA BOTH ‘BIG’ AND ‘SMALL’
Abstract ID#: 284474
WYBORN, Lesley A.I. and EVANS, Benjamin J.K., National Computational Infrastructure, Australian National University, 56 Mills Road, Acton, 2600, Australia, lesley.wyborn@anu.edu.au
INTERNATIONAL DEVELOPMENT OF E-INFRASTRUCTURES AND DATA MANAGEMENT PRIORITIES FOR GLOBAL CHANGE RESEARCH
Abstract ID#: 286477
GURNEY, Robert, Dept. of Meteorology, University of Reading, Whiteknights, PO Box 217, Reading, RG6 6AH, United Kingdom and ALLISON, M. Lee, State Geologist & Director, Arizona Geological Survey, 1955 E. 6th St, PO Box 210184, Tucson, AZ 85721, r.j.gurney@reading.ac.uk
EARTHCUBE – MOVING TO AN ENTERPRISE GOVERNANCE FOR INTERDISCIPLINARY COLLABORATION FOR GEOSCIENCE CYBERINFRASTRUCTURE
Abstract ID#: 286602
ALLISON, M. Lee, State Geologist & Director, Arizona Geological Survey, 1955 E. 6th St, PO Box 210184, Tucson, AZ 85721, KEANE, Christopher, American Geosciences Institute, 4220 King St, Alexandria, VA 22302 and ROBINSON, Erin, Foundation for Earth Science, 3980 Broadway, Suite 103-185, Boulder, CO 80304, leeallison@email.arizona.edu
THE EASY WAY TO COMPUTATIONAL GEODYNAMICS
Abstract ID#: 283865
MORRA, Gabriele, University of Louisiana at Lafayette, Department of Physics and School of Geosciences, Lafayette, LA 70504, morra@louisiana.edu
STRATEGIES FOR CURATING BIG DATA IN THE HETEROGENEOUS LONG TAIL: EXAMPLES FROM THE USGS SCIENCEBASE REPOSITORY AND SEAD DATA SERVICES
Abstract ID#: 285056
HSU, Leslie, US Geological Survey, Community for Data Integration (CDI), Denver, CO 80225, IGNIZIO, Drew A., US Geological Survey, Core Science Analytics, Synthesis, and Libraries, Denver, CO 80225 and MYERS, James D., University of Michigan, Ann Arbor, MI 48109, lhsu@usgs.gov
 
Break
Abstract ID#: 288367
AGILE DATA METHOD APPLICATIONS IN A REAL-WORLD INTERDISCIPLINARY RESEARCH CONTEXT
Abstract ID#: 287830
PELAEZ, Carlos and PELAEZ, Jess, Blueprint Earth, 340 S Lemon Ave #7879, Walnut, CA 91789, carlos@blueprintearth.org
BLINDED BY THE LIGHT: A CORE COLLECTION'S JOURNEY TO BETTER DISCOVERABILITY
Abstract ID#: 280605
HILLS, Denise J., Energy Investigations, Geological Survey of Alabama, P.O. Box 869999, Tuscaloosa, AL 35486-6999 and MCINTYRE-REDDEN, Marcella R., Energy Investigations Program, Geological Survey of Alabama, P.O. Box 869999, Tuscaloosa, AL 35486-6999, dhills@gsa.state.al.us
THE USE OF MACHINE LEARNING FOR THE SYNTHESIS OF STREAM DISCHARGE – GAGE HEIGHT RATING CURVES
Abstract ID#: 286470
ALLEN, Sarah M., TULLEY, Skyler, MURDOCK, Thomas and EMERMAN, Steven H., Department of Earth Science, Utah Valley University, 800 West University Parkway, Orem, UT 84058, yellow4ecko@yahoo.com
ONLINE VISUALIZATION AND ANALYSIS OF LARGE ROCK COLLECTIONS WITH SUAVE
Abstract ID#: 288027
ZASLAVSKY, Ilya, LI, Side, VALENTINE, David and WHITENACK, Thomas, San Diego Supercomputer Center, Univ of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0505, zaslavsk@sdsc.edu
 
Break
Abstract ID#: 288368
EMAG2-VERSION3 - A NEW GLOBAL COMPILATION OF LITHOSPHERIC MAGNETIC ANOMALIES
Abstract ID#: 283663
MEYER, Brian, SALTUS, Richard W. and CHULLIAT, Arnaud, Cooperative Institute for Research in Environmental Sciences and NOAA's National Centers for Environmental Information, University of Colorado, Boulder, CO 80035, Brian.Meyer@noaa.gov
A NOVEL APPROACH TO DATA PRIORITIZATION IN PALEONTOLOGICAL COLLECTIONS
Abstract ID#: 283835
OLENIACZ, Brittney A., Department of Geology, University of Kansas, Lawrence, KS 66044, oleniacz@ku.edu
DEEP TIME DATA INFRASTRUCTURE: INTEGRATING OUR CURRENT GEOLOGIC AND BIOLOGIC DATABASES
Abstract ID#: 286647
KOLANKOWSKI, Sophia1, FOX, Peter2, MA, Xiaogang2 and ZEDNIK, Stephan1, (1)Earth and Environmental Science, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, NY 12180, (2)Department of Computer Science, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, NY 12180, kolans@rpi.edu
DATA-DRIVEN HYPOTHESES TO ADDRESS CORAL DISEASE AND REEF HEALTH
Abstract ID#: 284180
JOHNSON, Claudia C.1, DALKILIC, Mehmet M.2, JENNE, Mark2 and BEEKER, Charles D.3, (1)Department of Geological Sciences, Indiana University, 1001 E. Tenth St., Bloomington, IN 47405-1405, (2)Computer Science, Indiana University, Bloomington, IN 47405, (3)Kinesiology, Indiana University, Bloomington, IN 47405, claudia@indiana.edu
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